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2020 – today
- 2024
[j20]Mingyang Zhang, Xiangzhou Zhang, Mingyang Dai, Lijuan Wu, Kang Liu, Hongnian Wang
, Weiqi Chen, Mei Liu, Yong Hu:
Development and validation of a Multi-Causal investigation and discovery framework for knowledge harmonization (MINDMerge): A case study with acute kidney injury risk factor discovery using electronic medical records. Int. J. Medical Informatics 191: 105588 (2024)- 2022
- [j19]Xiangzhou Zhang, Kang Liu, Borong Yuan, Hongnian Wang, Shaoyong Chen, Yunfei Xue, Weiqi Chen, Mei Liu, Yong Hu:
A hybrid adaptive approach for instance transfer learning with dynamic and imbalanced data. Int. J. Intell. Syst. 37(12): 11582-11599 (2022) - [j18]Lijuan Wu, Yong Hu, Xiangzhou Zhang, Jia Zhang, Mei Liu:
Development of a knowledge mining approach to uncover heterogeneous risk predictors of acute kidney injury across age groups. Int. J. Medical Informatics 158(February): 104661 (2022) - [j17]Kang Liu, Borong Yuan, Xiangzhou Zhang, Weiqi Chen, Lav P. Patel, Yong Hu, Mei Liu:
Characterizing the temporal changes in association between modifiable risk factors and acute kidney injury with multi-view analysis. Int. J. Medical Informatics 163: 104785 (2022) - [j16]Lijuan Wu, Yong Hu, Xiangzhou Zhang, Borong Yuan, Weiqi Chen, Kang Liu, Mei Liu:
Temporal dynamics of clinical risk predictors for hospital-acquired acute kidney injury under different forecast time windows. Knowl. Based Syst. 245: 108655 (2022) - 2021
- [j15]Qichao Luo, Shenglong Mo, Yunfei Xue, Xiangzhou Zhang, Yuliang Gu, Lijuan Wu, Jia Zhang, Linyan Sun, Mei Liu, Yong Hu:
Novel deep learning-based transcriptome data analysis for drug-drug interaction prediction with an application in diabetes. BMC Bioinform. 22(1): 318 (2021) - [j14]Xiangzhou Zhang, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen:
Location Sensitive Network for Human Instance Segmentation. IEEE Trans. Image Process. 30: 7649-7662 (2021) - 2020
- [j13]Lijuan Wu, Yong Hu, Borong Yuan, Xiangzhou Zhang, Weiqi Chen, Kang Liu, Mei Liu:
Which risk predictors are more likely to indicate severe AKI in hospitalized patients? Int. J. Medical Informatics 143: 104270 (2020)
2010 – 2019
- 2018
- [j12]Weiqi Chen, Yong Hu, Xiangzhou Zhang, Lijuan Wu, Kang Liu, Jianqin He, Zilin Tang, Xing Song, Lemuel R. Waitman, Mei Liu:
Causal risk factor discovery for severe acute kidney injury using electronic health records. BMC Medical Informatics Decis. Mak. 18(S-1): 57-63 (2018) - 2016
- [j11]Weiqi Chen, Zhifeng Hao, Ruichu Cai, Xiangzhou Zhang, Yong Hu, Mei Liu:
Multiple-cause discovery combined with structure learning for high-dimensional discrete data and application to stock prediction. Soft Comput. 20(11): 4575-4588 (2016) - 2015
- [j10]Yong Hu, Kang Liu, Xiangzhou Zhang, Lijun Su, E. W. T. Ngai, Mei Liu:
Application of evolutionary computation for rule discovery in stock algorithmic trading: A literature review. Appl. Soft Comput. 36: 534-551 (2015) - [j9]Yong Hu, Bin Feng, Xizhu Mo, Xiangzhou Zhang, E. W. T. Ngai, Ming Fan, Mei Liu:
Cost-sensitive and ensemble-based prediction model for outsourced software project risk prediction. Decis. Support Syst. 72: 11-23 (2015) - [j8]Yong Hu, Kang Liu, Xiangzhou Zhang, Kang Xie, Weiqi Chen, Yuran Zeng, Mei Liu:
Concept drift mining of portfolio selection factors in stock market. Electron. Commer. Res. Appl. 14(6): 444-455 (2015) - [j7]Yong Hu, Bin Feng, Xiangzhou Zhang, E. W. T. Ngai, Mei Liu:
Stock trading rule discovery with an evolutionary trend following model. Expert Syst. Appl. 42(1): 212-222 (2015) - [j6]Yong Hu, Xiangzhou Zhang, Bin Feng, Kang Xie, Mei Liu:
iTrade: A Mobile Data-Driven Stock Trading System with Concept Drift Adaptation. Int. J. Data Warehous. Min. 11(1): 66-83 (2015) - [j5]Xiangzhou Zhang, Yong Hu, Kang Xie, Weiguo Zhang, Lijun Su, Mei Liu:
An evolutionary trend reversion model for stock trading rule discovery. Knowl. Based Syst. 79: 27-35 (2015) - 2014
- [j4]Xiangzhou Zhang, Yong Hu, Kang Xie, Shouyang Wang, E. W. T. Ngai, Mei Liu:
A causal feature selection algorithm for stock prediction modeling. Neurocomputing 142: 48-59 (2014) - [c5]Yong Hu, Kang Liu, Bin Feng, Lijun Su, Xiangzhou Zhang, Weiqi Chen, Yuran Zeng:
Concept Drift Mining of Fundamental Variables in China Stock Market. 3PGCIC 2014: 62-68 - [c4]Weiqi Chen, Kang Liu, Lijun Su, Mei Liu, Zhifeng Hao, Yong Hu, Xiangzhou Zhang:
Discovering Many-to-One Causality in Software Project Risk Analysis. 3PGCIC 2014: 316-323 - 2013
- [j3]Yong Hu, Jianfeng Du, Xiangzhou Zhang, Xiaoling Hao, E. W. T. Ngai, Ming Fan, Mei Liu:
An integrative framework for intelligent software project risk planning. Decis. Support Syst. 55(4): 927-937 (2013) - [j2]Yong Hu, Xiangzhou Zhang, E. W. T. Ngai, Ruichu Cai, Mei Liu:
Software project risk analysis using Bayesian networks with causality constraints. Decis. Support Syst. 56: 439-449 (2013) - [c3]Yong Hu, Bin Feng, Xiangzhou Zhang, Kang Liu, Kang Xie, Mei Liu:
iTrade: An Adaptive Risk-Adjusted Intelligent Stock Trading System from the Perspective of Concept Drift. EIDWT 2013: 160-167 - [c2]Hongming Zhang, Bin Feng, Xizhu Mo, Lijun Su, Xiangzhou Zhang, Yong Hu:
A Cost-sensitive Intelligent Prediction Model for Outsourced Software Project Risk. WHICEB 2013: 72 - [c1]Yong Hu, Bin Feng, Xiangzhou Zhang, Xin Ying Qiu, Risong Li, Kang Xie:
A Prediction Model for Stock Market: A Comparison of The World's Top Investors with Data Mining Method. WHICEB 2013: 107 - 2012
- [j1]Yong Hu, Xizhu Mo, Xiangzhou Zhang, Yuran Zeng, Jianfeng Du, Kang Xie:
Intelligent Analysis Model for Outsourced Software Project Risk Using Constraint-based Bayesian Network. J. Softw. 7(2): 440-449 (2012)
Coauthor Index
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